Conservation in the Amazon rainforest and Google searches: A DCCA approach.

Autor: Pereira EJAL; PPG MCTI, Centro Universitário SENAI CIMATEC, Salvador, Bahia, Brazil.; Instituto Federal do Maranhão - IFMA, Bacabal, Maranhão, Brazil., Ferreira P; VALORIZA - Research Center for Endogenous Resource Valorization, Portalegre, Portugal.; Instituto Politecnico de Portalegre, Portalegre, Portugal.; CEFAGE-UE, IIFA, Universidade de Évora, Évora, Portugal., da Cunha Lima IC; PPG MCTI, Centro Universitário SENAI CIMATEC, Salvador, Bahia, Brazil.; National Institute for Science and Technology-Petroleum Geophysics, INCT-GP, Salvador, Bahia, Brazil.; Pursuelife Consultancy on Applied Science, Salvador, Bahia, Brazil., Murari TB; PPG GETEC, Centro Universitário SENAI CIMATEC, Salvador, Bahia, Brazil., Moret MA; PPG MCTI, Centro Universitário SENAI CIMATEC, Salvador, Bahia, Brazil.; Universidade do Estado da Bahia - UNEB, Salvador, Bahia, Brazil., Pereira HBB; PPG MCTI, Centro Universitário SENAI CIMATEC, Salvador, Bahia, Brazil.; Universidade do Estado da Bahia - UNEB, Salvador, Bahia, Brazil.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2022 Oct 26; Vol. 17 (10), pp. e0276675. Date of Electronic Publication: 2022 Oct 26 (Print Publication: 2022).
DOI: 10.1371/journal.pone.0276675
Abstrakt: In this paper we analyze the descriptive statistics of the Google search volume for the terms related to the National Reserve of Copper and Associates (RENCA), a Brazilian mineral reserve in the Amazon of 4.6 million hectares, before and after the government signed the decree releasing it for exploration. First, we analyze the volume of searches for expressions related to RENCA in Google Trends using descriptive statistics; second, we assess the cross-correlation coefficient ρDCCA, which measures the cross-correlation between two nonstationary time series across different time scales. After the government announced the release of the RENCA reserve, there was an increase in the average volume of Google searches for related terms, showing people's concern about the announcement. By using the cross-correlation coefficient ρDCCA, we identify strong cross-correlations between the different expressions related to RENCA in Google Trends. Our work shows the utility of Google Trends as an indicator of the perception of environmental policies. Additionally, we show that ρDCCA can be used as a tool to measure the cross-correlation between synonyms extracted from Google Trends for various time scales.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
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